Cdna_manager – Digital Analytics

1074 amgen pvt

📍 india - hyderabad india🕐 2d ago🔗 workday

Job Description

**Career Category** ------------------- Engineering **Job Description** ------------------- **HOW MIGHT YOU DEFY IMAGINATION?** If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. **Live | What you will do** * Lead campaign data delivery for assigned brands or channels, ensuring timely ingestion, validation, and handoff to reporting/analytics teams. * Own daily ops and work directly with US-based stakeholders and senior managers (SMs) to align on priorities and timelines. * Coordinate L4 analyst execution, oversee data hygiene and process stability, and identify automation opportunities. * Ensure taxonomy compliance, vendor data QC, and reporting data readiness. * Serve as SME for media data architecture, pipeline design, and ingestion logic. * Collaborate with technology and engineering teams to enhance cloud workflows (AWS, Databricks) and SFDC-based integrations. **Thrive | What you can expect** As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. **Basic Qualifications** * Master’s degree (or Bachelor’s with 5–7 years) in Computer Science, Information Systems, Data Engineering, or related field. * Proven experience managing data pipelines, reporting workflows, and media data quality for enterprise marketing programs. * Strong SQL and Python skills, with working knowledge of Tableau and cloud data services (AWS, Databricks). * Experience handling multi-source vendor data, campaign performance data, and large datasets tied to paid media execution. * Demonstrated ownership of operational delivery across cross-functional teams. **Preferred Qualifications** * Hands-on experience with platforms like DV360, Meta Ads, SFMC, and Salesforce plugins for campaign orchestration. * Familiarity with HCP and consumer media data workflows in the pharma or healthcare context. * Ability to translate data architecture needs into long-term, scalable designs in collaboration with engineering. * Strong interpersonal and planning skills; comfort leading operational discussions with global stakeholders. * Background in developing or enforcing taxonomy, tagging, and governance standards for campaign metadata. .
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